Liaquat Ali Khan
Papers
2
Total Citations
14
H-Index
2
About
Liaquat Ali Khan is a researcher focused on robotics and advanced manufacturing systems, with key contributions in bipedal locomotion and smart factory design. His most cited work, "Modeling and dynamic analysis of the biped robot" (2015, 10 citations), addresses the complex challenge of achieving human-like, dynamically stable gait in biped robots with multiple degrees of freedom. This foundational study explores the intricate link structures and joint dynamics that make mimicking human locomotion both difficult and critical for advancing humanoid robotics. In his more recent work, "A Smart Microfactory Design: An Integrated Approach" (2019, 4 citations), Khan contributes to the rapidly evolving field of cyber-physical production systems, leveraging enabling technologies to develop compact, intelligent manufacturing environments. His research bridges the gap between theoretical modeling and practical implementation, offering insights into the integration of cyber-physical systems for efficient, scalable production. Through these contributions, Khan demonstrates a commitment to solving real-world engineering problems, from enhancing robotic mobility to revolutionizing factory automation. His work serves as a valuable resource for students and researchers exploring the frontiers of robotics and smart manufacturing.
Research Focus
Key Achievements
Top Papers
- 1Modeling and dynamic analysis of the biped robot10 citations · 2015
- 2A Smart Microfactory Design: An Integrated Approach4 citations · 2019